Average Error: 0.6 → 0.6
Time: 11.2s
Precision: 64
\[1 - \frac{x}{\left(y - z\right) \cdot \left(y - t\right)}\]
↓
\[1 - \frac{x}{\left(y - z\right) \cdot \left(y - t\right)}\]
1 - \frac{x}{\left(y - z\right) \cdot \left(y - t\right)}
↓
1 - \frac{x}{\left(y - z\right) \cdot \left(y - t\right)}
double f(double x, double y, double z, double t) {
        double r191971 = 1.0;
        double r191972 = x;
        double r191973 = y;
        double r191974 = z;
        double r191975 = r191973 - r191974;
        double r191976 = t;
        double r191977 = r191973 - r191976;
        double r191978 = r191975 * r191977;
        double r191979 = r191972 / r191978;
        double r191980 = r191971 - r191979;
        return r191980;
}
↓
double f(double x, double y, double z, double t) {
        double r191981 = 1.0;
        double r191982 = x;
        double r191983 = y;
        double r191984 = z;
        double r191985 = r191983 - r191984;
        double r191986 = t;
        double r191987 = r191983 - r191986;
        double r191988 = r191985 * r191987;
        double r191989 = r191982 / r191988;
        double r191990 = r191981 - r191989;
        return r191990;
}

Error

Bits error versus x

Bits error versus y

Bits error versus z

Bits error versus t

Try it out

Your Program's Arguments

Results

Enter valid numbers for all inputs

Derivation

  1. Initial program 0.6

    \[1 - \frac{x}{\left(y - z\right) \cdot \left(y - t\right)}\]

  2. Final simplification0.6

    \[\leadsto 1 - \frac{x}{\left(y - z\right) \cdot \left(y - t\right)}\]

Reproduce

herbie shell --seed 2019350 +o rules:numerics
(FPCore (x y z t)
  :name "Data.Random.Distribution.Triangular:triangularCDF from random-fu-0.2.6.2, A"
  :precision binary64
  (- 1 (/ x (* (- y z) (- y t)))))